Working for a better future: exploring how network capital fosters Laotian migrant workers in Thai family SMEs

IF 2.3 Q3 BUSINESS Journal of Asia Business Studies Pub Date : 2023-09-26 DOI:10.1108/jabs-09-2022-0306
Hanvedes Daovisan, Sayamol Charoenratana, Motoki Akitsu
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Abstract

Purpose Transnational migration is a key challenge in migrant-sending and host-receiving countries. However, relatively little is known about how migrants use network capital to foster small and medium-sized enterprises (SMEs) in the ASEAN Economic Community (AEC). Therefore, the purpose of this study is to explore how network capital fosters Laotian migrant workers in Thai family SMEs. Design/methodology/approach This research was conducted using qualitative network analysis (QNA). Referral snowball sampling was used to draw 20 participants from December 2021 to March 2022. Data analysis was performed using Gephi, a software package developed for QNA (coding, network features, measure nodes and network metrics). Findings The main findings are the following four emerging themes: chain networks, social networks, human networks and financial networks are associated with network capital for fostering Laotian migrant workers in Thai family SMEs. Originality/value To the best of the authors’ knowledge, this study is the first QNA to explore how Laotian migrant workers use network capital in Thai family SMEs.
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为更美好的未来而努力:探索网络资本如何培养泰国家庭中小企业中的老挝移民工人
跨国移徙是移民输出国和接受国面临的主要挑战。然而,对于移民如何利用网络资本在东盟经济共同体(AEC)中培育中小企业(SMEs),人们所知相对较少。因此,本研究的目的是探讨网络资本如何促进泰国家庭中小企业中的老挝移民工人。本研究采用定性网络分析(QNA)进行。从2021年12月到2022年3月,采用转诊雪球抽样方法抽取了20名参与者。数据分析使用Gephi,这是一个为QNA(编码、网络特征、测量节点和网络指标)开发的软件包。主要发现有以下四个新兴主题:链条网络、社会网络、人际网络和金融网络与泰国家庭中小企业中老挝移民工人培养的网络资本相关。据作者所知,本研究是第一个探讨老挝外来务工人员如何在泰国家庭中小企业中使用网络资本的QNA。
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来源期刊
CiteScore
6.20
自引率
10.30%
发文量
46
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